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Record W7006200376

Statutory Norms and Common Law Concepts in the Characterisation of Contracts for the Performance of Work

2019· article· en· W7006200376 on OpenAlexaboutno aff

Bibliographic record

VenueANU Open Research (Australian National University) · 2019
Typearticle
Languageen
FieldHealth Professions
TopicMethodologies in Health Research and Practice
Canadian institutionsnot available
Fundersnot available
KeywordsStatutory lawStatuteCommon lawTortWork (physics)Labour lawEmployment contractConversation
DOInot available

Abstract

fetched live from OpenAlex

While the relationship between statute and common law has attracted increased interest in the labour law field, limited attention has been directed at exploring this relationship in cases involving the characterisation of contracts for the performance of work. The characterisation of a work contract as an employment contract or an independent contract carries significant consequences in a number of different contexts, including tort law, employment law and taxation law. Many Australian statutes invoke the common law concept of employment as a criterion by which to confer rights and impose obligations. In determining whether a contract is one of employment and thereby covered by the relevant statute, Australian courts have not generally had regard to the purposes of the statute. However, in some Australian cases, it has been suggested that statutory purpose can, and should, guide the characterisation exercise. This article explores that suggestion, focusing particularly on statutes that confer rights and entitlements upon employees. In doing so, it draws upon decisions of the Supreme Courts of Canada and the United States that have adopted a 'purposive approach' to the employment concept. This article seeks to begin a conversation about the utility and viability of a purposive approach to the employment concept in Australia. It does so by canvassing the arguments in favour of a purposive approach and identifying some of the primary barriers to the adoption of such an approach by Australian courts.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.093
metaresearch head score (Gemma)0.103
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.093
Threshold uncertainty score0.493

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0930.103
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0080.006
Science and technology studies0.0090.118
Scholarly communication0.0180.023
Open science0.0050.009
Research integrity0.0090.012
Insufficient payload (model declined to judge)0.0020.001

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.599
GPT teacher head0.607
Teacher spread0.008 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designTheoretical or conceptual
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2019
Admission routes1
Has abstractyes

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